航空学报 > 2008, Vol. 30 Issue (6): 1447-1452

模糊逻辑PIO探测器中的隶属函数构建

颜世伟1,高正红1,刘艳1,田福礼2   

  1. 1.西北工业大学 翼型、叶栅空气动力学国防科技重点实验室 2.中国飞行试验研究院 总师办
  • 收稿日期:2007-10-12 修回日期:2007-11-28 出版日期:2008-11-25 发布日期:2008-11-25
  • 通讯作者: 颜世伟

Design of Membership Function of Fuzzy Logic PIO Detector

Yan Shiwei1, Gao Zhenghong1, Liu Yan1, Tian Fuli2   

  1. 1.National Key Laboratory of Aerodynamic Design and Research, Northwestern Polytechnical University 2.Agency of Chief Engineer, Chinese Flight Test Establishment
  • Received:2007-10-12 Revised:2007-11-28 Online:2008-11-25 Published:2008-11-25
  • Contact: Yan Shiwei

摘要: 驾驶员诱发振荡(PIO)是一类驾驶员不希望出现的人机耦合(APC)现象。探测器可根据飞机飞行数据识别是否有PIO发生。设计模糊逻辑探测器模型用于PIO探测关键在于模糊变量的选取与模糊推理的设计,模糊变量是由若干隶属函数描述的。根据对发生PIO时驾驶员的操纵与飞机运动特点的分析与总结,以及选取的特征参数的变化范围,对模型中的隶属函数进行设计,并对隶属函数的适应性和对识别结果的影响进行了分析。PIO数据的识别结果表明通过这种设计方法得到的模型可以用于PIO探测。

关键词: 人机耦合, PIO, 模糊逻辑, 隶属函数, 探测器

Abstract: Pilot induced oscillation (PIO) is a kind of aircraft pilot coupling (APC) events with undesired, largescale and oscillatory characters. Detector can identify PIO events by the signals of aircraft. The key technology of design fuzzy logic detector for PIO events is the choice of fuzzy variables and design of fuzzy inference system, and fuzzy variables are described by some membership functions. In terms of analyzing and deducing the flight’s characters of PIO and fuzzy variables changing range, the membership functions are designed and the adaptability and influence of membership functions are analyzed. The results show that the fuzzy logic PIO detector designed by this method can identify PIO events.

Key words: aircraft pilot coupling, PIO, fuzzy logic, membership function, detectors

中图分类号: